← All questions
Metricsstandard
Checkout conversion on an e-commerce site dropped after a release. Walk me through your diagnosis.
How to approach it
The timing points to the release, but confirm it. Compare users on the new version with users still on the old one.
How a strong answer opens
“The timing points at the release, but I'd like to confirm it. Can we compare users on the new version with users still on the old one?”
Outline of a strong answer
Try answering out loud for a few minutes before you open this.
- Confirm the drop lines up with the release
- Compare users on the new and old versions if possible
- Break checkout into steps and find where drop-off grew
- Segment by device, browser, payment method
- Check errors and load times on the affected step
- Decide whether to roll back while you fix
Where this question usually goes wrong
Assuming the release caused it without checking, or debating the root cause for days instead of considering a rollback while you investigate.
Learn the method
Diagnosing a metric drop in Module 2, Metrics and execution.
The full kit has worked answers in full, start to finish, for every round type. $129 once.
More metrics questions
- Daily active users on a messaging app dropped 10% week over week. How would you investigate?
- Uber trips in one city fell 15% yesterday. What do you do?
- Sign-ups for a SaaS free trial doubled overnight. Is that good news?
- Average session length on YouTube went up, but daily active users went down. What's happening?
- Food delivery orders are flat, but average delivery time rose by 8 minutes. How do you dig in?